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Reschedule confirmed! Meeting on 1/30/07


  • From: Selena Deckelmann <selena(at)chrisking(dot)com>
  • To: pdxpug(at)postgresql(dot)org
  • Cc: Bill Howe <howew(at)stccmop(dot)org>
  • Subject: Reschedule confirmed! Meeting on 1/30/07
  • Date: Fri, 19 Jan 2007 12:28:57 -0800
  • Message-id: <3106A82E-746B-4735-A19D-E26FD1F1AE11(at)chrisking(dot)com>


I've confirmed with FreeGeek that we have the space on January 30th. I know a few of you will be able to make it - please email me privately if you think you'll be able to come. I'm bringing treats.

-selena

Topic:		Oceanography with PostgreSQL
Speaker: Bill Howe, Science and Technology Center for Coastal Margin Observation and Prediction (CMOP)
When: 		Tuesday, January 30, 2007, 7pm
Where:		FreeGeek, 1731 SE 10th Ave

Here's the abstract, provided by Bill:

Ocean Observatories have been aggressively funded in recent years as they develop and deploy a national "backbone" of integrated data services. The data to be served include quality-controlled observations gathered from in-situ sensors and scientific cruises, simulation results produced by models of ocean circulation, and external datasets such as maps, satellite images, and fish counts.

At the Center for Coastal Margin Observation and Prediction (CMOP), we are using PostgreSQL to implement the "plumbing" for managing and integrating these data. In this talk, I'll describe our architecture, emphasizing our use of PostgreSQL's excellent implementation of advanced database features such as views, rules, and partitioned tables. I'll also explain where and why we chose not to use a relational database at all. If there is time and interest, I can also talk about our use of the postGIS package, which equips PostgreSQL with data types and functions for manipulating spatial data.

Bill recently defended his dissertation in Computer Science at Portland State University, presenting a language for manipulating simulation results in the physical sciences. He now works at the Science and Technology Center for Coastal Margin Observation and Prediction (CMOP), housed at the OGI School of Science and Engineering at OHSU in Beaverton. His research interests include science and engineering databases and unstructured metadata (tags, triples, and the like). Before applying to graduate school, Bill worked as a consultant on Customer Relationship Management software implementations for Microsoft, Schlumberger, and various telecom companies.

--

After the meeting, we will retire to the Lucky Lab for beer!





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